Abstract
In this paper we verify the previously proposed analytical traffic model of a multidomain Next Generation Network (NGN), which is standardized for delivering multimedia services based on the IP Multimedia Subsystem (IMS). For this reason a proper simulation model used, in which not theoretical queuing system models but the operation of real network elements and standardized call scenarios are accurately implemented. Consequently, the simulation model reflects the phenomena taking place in real IMS/NGN network and can be considered as a reference for evaluation of quality of the analytical results. The output variables assessed using both models are mean Call Set-up Delay (CSD) and mean Call Disengagement Delay (CDD), a subset standardized call processing performance parameters. The investigations are performed for various types of calls and sets of network parameters. As a result, conclusions regarding conformity of the analytical and simulation results in a multidomain IMS/NGN are presented.
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References
General overview of NGN, ITU-T Recommendation Y.2001, Dec 2004
IP Multimedia Subsystem (IMS); Stage 2 (Release 12), 3GPP TS 23.228 v12.4.0, Mar 2014
Call processing performance for voice service in hybrid IP networks, ITU-T Recommendation Y.1530, Nov 2007
SIP-based call processing performance, ITU-T Recommendation Y.1531, Nov 2007
Kaczmarek, S., Sac, M.: Traffic model of a multidomain IMS/NGN. Telecommun. Rev. Telecommun. News. 8–9, 1030–1038 (2014)
Kaczmarek, S., Sac, M.: Call processing performance in a multidomain IMS/NGN with asymmetric traffic. In: Grzech, A., et al. (eds.) Information Systems Architecture and Technology: Selected Aspects of Communication and Computational Systems, pp. 11–28. Oficyna Wydawnicza Politechniki Wrocławskiej, Wrocław (2014)
Kaczmarek, S., Sac, M.: Traffic model for evaluation of call processing performance parameters in IMS-based NGN. In: Grzech, A., et al. (eds.) Information Systems Architecture and Technology: Networks Design and Analysis, pp. 85–100. Oficyna Wydawnicza Politechniki Wrocławskiej, Wrocław (2012)
IMS for next generation networks, ITU-T Recommendation Y.2021, Sept 2006
Pirhadi, M., Safavi Hemami, S.M., Khademzadeh, A.: Resource and admission control architecture and QoS signaling scenarios in next generation networks. World Appl. Sci. J. 7, 87–97 (2009). (Special Issue of Computer & IT)
OMNeT++ Discrete Event Simulator—Documentation.: https://omnetpp.org/documentation
Rosenberg, J., et al.: SIP: Session Initiation Protocol, IETF RFC 3261, June 2002
Calhoun, P., et al.: Diameter Base Protocol, IETF RFC 3588, Sept 2003
Kaczmarek, S., Kaszuba, M., Sac, M.: Simulation model of IMS/NGN call processing performance, vol. 20, pp. 25–36. Gdańsk University of Technology Faculty of ETI Annals (2012)
Abhayawardhana, V.S., Babbage, R.: A traffic model for the IP multimedia subsystem (IMS). In: IEEE 65th Vehicular Technology Conference (VTC2007), Dublin, Ireland (2007)
Kaczmarek, S., Sac, M.: Analysis of IMS/NGN call processing performance using phase-type distributions. In: Grzech, A., et al. (eds.) Information Systems Architecture and Technology: Network Architecture and Applications, pp. 23–39. Oficyna Wydawnicza Politechniki Wrocławskiej, Wrocław (2013)
Kaczmarek, S., Sac, M.: Analysis of IMS/NGN call processing performance using phase-type distributions based on experimental histograms. Int. J. Commun. Syst. (2016). (Submitted for publication)
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Kaczmarek, S., Sac, M. (2016). Verification of the Analytical Traffic Model of a Multidomain IMS/NGN Using the Simulation Model. In: Grzech, A., Borzemski, L., Świątek, J., Wilimowska, Z. (eds) Information Systems Architecture and Technology: Proceedings of 36th International Conference on Information Systems Architecture and Technology – ISAT 2015 – Part II. Advances in Intelligent Systems and Computing, vol 430. Springer, Cham. https://doi.org/10.1007/978-3-319-28561-0_9
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DOI: https://doi.org/10.1007/978-3-319-28561-0_9
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